Benchmark: Testing replaceAll vs splitting a string to perform some operations

Script Preparation code:

function reverseCase(inputString){
  
  // gonna return an empty string if inputString is not a string
  if(typeof inputString !== 'string'){
    return '';
  }
  // we could either do this iterating through the array
  const wordsArray = inputString.split(' ').map(word=>{
    
    return word.slice(0,1).toLowerCase() + word.slice(1).toUpperCase();
  })

return wordsArray.join(' ');
  }

function reverseCaseRegex(inputString){  
  // gonna return an empty string if inputString is not a string
  if(typeof inputString !== 'string'){
    return '';
  }
  // or we could replace it with some regexp operations I think?
  
  const lol = inputString.replaceAll(/\w+/g, (match, p1, p2, p3, offset, string, namedGroups)=>{
      return match.slice(0,1).toLowerCase() + match.slice(1).toUpperCase();;
  })


    return lol;
}

Tests:

using split
const string = 'esta es una frase para probar la conversion de palabras a minuscula la primera y mayuscula el resto'; console.log(reverseCase(string))
using regex
const string = 'esta es una frase para probar la conversion de palabras a minuscula la primera y mayuscula el resto'; console.log(reverseCaseRegex(string))

Rendered benchmark preparation results:

Suite status: <idle, ready to run>

Previous results

Test case name	Result
using split
using regex

Fastest: N/A

Slowest: N/A

Latest run results:

Run details: (Test run date: 2 years ago)

User agent: Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/103.0.0.0 Safari/537.36

Browser/OS: Chrome 103 on Mac OS X 10.15.7

View result in a separate tab

Test name	Executions per second
using split	287626.8 Ops/sec
using regex	229880.3 Ops/sec

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):

LLMs can make mistakes. Check important info.

**Benchmark Overview**

The provided JSON represents a JavaScript benchmark test case on the MeasureThat.net website. The goal of this benchmark is to compare the performance of two approaches: using the `split()` method and regular expressions (`replaceAll`) to convert words in a string to title case.

**Test Case Explanation**

There are two individual test cases:

1. **"using split"`**: This test case uses the `split()` method to split the input string into an array of words, converts each word to title case using the `map()` function, and then joins the array back into a single string using the `join()` method.
2. **"using regex"`**: This test case uses regular expressions to replace patterns in the input string with their corresponding title-cased versions.

**Options Comparison**

The two approaches have different pros and cons:

* **Using `split()`**: Pros:
	+ Easy to understand and implement
	+ Fast, especially for large strings
	+ Does not require a dedicated regex library
Cons:
	+ Requires additional memory allocation for the temporary array
	+ May be slower due to the overhead of creating and manipulating the array
* **Using regular expressions (`replaceAll`)**: Pros:
	+ Can handle complex patterns and replacement logic
	+ Often faster than `split()` for simple cases
	+ Does not require additional memory allocation
Cons:
	+ Steeper learning curve due to regex syntax
	+ May be slower due to the overhead of compiling and executing the regex pattern

**Library and Syntax Considerations**

* The `replaceAll` function is part of the JavaScript `String` prototype, which means it does not require any external libraries.
* The use of `map()` and `join()` functions also does not require any additional libraries.

There are no special JavaScript features or syntax used in this benchmark. However, it's worth noting that the use of `RegExp` objects can be slower than native string methods like `split()` and `replaceAll` due to the overhead of compiling and executing the regex pattern.

**Alternatives**

Other approaches to achieve title case conversion could include:

* Using a dedicated library or utility function for title case conversion
* Implementing custom loop-based iteration over the input string
* Using a different programming paradigm, such as functional programming with `reduce()` and `map()`

Keep in mind that these alternatives may have different performance characteristics and trade-offs compared to the `split()` and regular expression approaches used in this benchmark.

Related benchmarks:

Testing replaceAll vs splitting a string to perform some operations (version: 0)

Comparing performance of: using split vs using regex

Created: 2 years ago by: Guest

Jump to the latest result

using split

using regex

Suite status: <idle, ready to run>

Experimental features:

Fastest: N/A

Slowest: N/A

Autogenerated LLM Summary (model llama3.2:3b, generated 2 months ago):